Amendments and Corrections.
- Published in:
- Biometrika, 2018, v. 105, n. 2, p. 503, doi. 10.1093/biomet/asy024
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- Article
Works matching IS 00063444 AND DT 2018 AND VI 105 AND IP 2
Results: 19
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Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores.
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- Biometrika, 2018, v. 105, n. 2, p. 487, doi. 10.1093/biomet/asy008
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- Article
3
Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse.
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- Biometrika, 2018, v. 105, n. 2, p. 479, doi. 10.1093/biomet/asy007
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- Article
4
On the connection between maximin distance designs and orthogonal designs.
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- Biometrika, 2018, v. 105, n. 2, p. 471, doi. 10.1093/biomet/asy005
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5
Bootstrapping volatility functionals: a local and nonparametric perspective.
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- Biometrika, 2018, v. 105, n. 2, p. 463, doi. 10.1093/biomet/asy002
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6
A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions.
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- Biometrika, 2018, v. 105, n. 2, p. 455, doi. 10.1093/biomet/asy001
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7
On edge correction of conditional and intrinsic autoregressions.
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- Biometrika, 2018, v. 105, n. 2, p. 447, doi. 10.1093/biomet/asy014
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8
Theoretical limits of microclustering for record linkage.
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- Biometrika, 2018, v. 105, n. 2, p. 431, doi. 10.1093/biomet/asy003
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9
Design-based maps for continuous spatial populations.
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- Biometrika, 2018, v. 105, n. 2, p. 419, doi. 10.1093/biomet/asy012
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10
Semiparametric regression analysis for composite endpoints subject to componentwise censoring.
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- Biometrika, 2018, v. 105, n. 2, p. 403, doi. 10.1093/biomet/asy013
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- Article
11
On the number of principal components in high dimensions.
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- Biometrika, 2018, v. 105, n. 2, p. 389, doi. 10.1093/biomet/asy010
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12
Bayesian precision and covariance matrix estimation for graphical Gaussian models with edge and vertex symmetries.
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- Biometrika, 2018, v. 105, n. 2, p. 371, doi. 10.1093/biomet/asx084
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13
A frequency domain analysis of the error distribution from noisy high-frequency data.
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- Biometrika, 2018, v. 105, n. 2, p. 353, doi. 10.1093/biomet/asy006
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14
Testing independence for multivariate time series via the auto-distance correlation matrix.
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- Biometrika, 2018, v. 105, n. 2, p. 337, doi. 10.1093/biomet/asx082
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15
Adaptive multigroup confidence intervals with constant coverage.
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- Biometrika, 2018, v. 105, n. 2, p. 319, doi. 10.1093/biomet/asy009
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16
Convergence of regression-adjusted approximate Bayesian computation.
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- Biometrika, 2018, v. 105, n. 2, p. 301, doi. 10.1093/biomet/asx081
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17
On the asymptotic efficiency of approximate Bayesian computation estimators.
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- Biometrika, 2018, v. 105, n. 2, p. 285, doi. 10.1093/biomet/asx078
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18
Robust estimation of high-dimensional covariance and precision matrices.
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- Biometrika, 2018, v. 105, n. 2, p. 271, doi. 10.1093/biomet/asy011
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19
Joint testing and false discovery rate control in high-dimensional multivariate regression.
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- Biometrika, 2018, v. 105, n. 2, p. 249, doi. 10.1093/biomet/asx085
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- Article